Proposing a New Structure for Web Mining and Personalizing Web Pages
Hamid Alinejad-Rokny1,2, Mostafa Keikhay Farzaneh3, Amir Goran Orimi4,
Mir Mohsen Pedram5, and
Hojjat Ahangari Kiasari6
1. CVR, Faculty of Medicine, The University of New South Wales, Sydney, NSW, Australia
2. School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia
3. Department of Industrial Engineering, Zahedan Branch, Islamic Azad University, Zahedan, Iran
4. University of Mazandaran, Iran
5. Department of Computer Engineering, Faculty of Engineering, Kharazmi University, Karaj, Tehran, Iran
6. University of Hertfordshire, UK
2. School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia
3. Department of Industrial Engineering, Zahedan Branch, Islamic Azad University, Zahedan, Iran
4. University of Mazandaran, Iran
5. Department of Computer Engineering, Faculty of Engineering, Kharazmi University, Karaj, Tehran, Iran
6. University of Hertfordshire, UK
Abstract—During users visiting a Web Server Access, data is stored. This information can be used broadly. Using this information we can obtain users' preferences and use them to personalize Web pages. Web mining is a new discussion that has been proposed to manage the web pages. In fact Web mining is the application of data mining techniques to discover patterns of user interests is the Data Web. In this article we provide a structure for web mining.
Index Terms—web mining, personalization of web pages, recommendation systems, comprehensive site
Cite: Hamid Alinejad-Rokny, Mostafa Keikhay Farzaneh, Amir Goran Orimi, Mir Mohsen Pedram, and Hojjat Ahangari Kiasari, "Proposing a New Structure for Web Mining and Personalizing Web Pages," Journal of Emerging Technologies in Web Intelligence, Vol. 5, No. 3, pp. 287-295, August 2013. doi:10.4304/jetwi.5.3.287-295
Index Terms—web mining, personalization of web pages, recommendation systems, comprehensive site
Cite: Hamid Alinejad-Rokny, Mostafa Keikhay Farzaneh, Amir Goran Orimi, Mir Mohsen Pedram, and Hojjat Ahangari Kiasari, "Proposing a New Structure for Web Mining and Personalizing Web Pages," Journal of Emerging Technologies in Web Intelligence, Vol. 5, No. 3, pp. 287-295, August 2013. doi:10.4304/jetwi.5.3.287-295
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